package DianShang_2024.ds_02.extract

import org.apache.hudi.DataSourceWriteOptions.{PARTITIONPATH_FIELD, PRECOMBINE_FIELD, RECORDKEY_FIELD}
import org.apache.hudi.QuickstartUtils.getQuickstartWriteConfigs
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions.{col, date_format, lit}

import java.util.Properties

object extract02 {
  def main(args: Array[String]): Unit = {
    /*
          2、抽取shtd_store库中sku_info的增量数据进入Hudi的ods_ds_hudi库中表sku_info。根据ods_ds_hudi.sku_info表
          中create_time作为增量字段，只将新增的数据抽入，字段名称、类型不变，同时添加分区，分区字段为etl_date，类型为String，且值为当前
          比赛日的前一天日期（分区字段格式为yyyyMMdd）。id作为primaryKey，operate_time作为preCombineField。使用spark-shell执
          行show partitions ods_ds_hudi.sku_info命令，将结果截图粘贴至客户端桌面【Release\任务B提交结果.docx】中对应的任务序号下；
     */
    val spark=SparkSession.builder()
      .master("local[*]")
      .appName("数据抽取第二题")
      .config("hive.exec.dynamic.partition.mode","nonstrict")
      .config("spark.serializer","org.apache.spark.serializer.KryoSerializer")
      .config("spark.sql.extensions","org.apache.spark.sql.hudi.HoodieSparkSessionExtension")
      .enableHiveSupport()
      .getOrCreate()

    spark.sql("use ods_ds_hudi02")

    val mysql_connect=new Properties()
    mysql_connect.setProperty("user","root")
    mysql_connect.setProperty("password","123456")
    mysql_connect.setProperty("driver","com.mysql.jdbc.Driver")

    val sku_info_path="hdfs://192.168.40.110:9000/user/hive/warehouse/ods_ds_hudi02.db/sku_info"

    val max_time=spark.sql(
      """
        |select max(create_time) from sku_info
        |""".stripMargin).collect()(0).get(0).toString

    println(max_time)

    spark.read.jdbc("jdbc:mysql://192.168.40.110:3306/shtd_store?useSSL=false","sku_info",mysql_connect)
      .createOrReplaceTempView("data")


      val result=spark.sql(
          s"""
            |select
            |*
            |from data
            |where create_time > cast('${max_time}' as timestamp)
            |""".stripMargin)


      result
        .withColumn("create_time",date_format(col("create_time"),"yyyy-MM-dd HH:mm:ss"))
      .withColumn("etl_date",lit("20240101"))
      .write.mode("append")
      .format("hudi")
      .options(getQuickstartWriteConfigs)
      .option(RECORDKEY_FIELD.key(),"id")
      .option(PRECOMBINE_FIELD.key(),"create_time")
      .option(PARTITIONPATH_FIELD.key(),"etl_date")
      .option("hoodie.table.name","sku_info")
      .save(sku_info_path)




    spark.close()
  }

}
